# Email & Contact Extractor (`blazing_stake/email-contact-extractor`) Actor Extract emails, phone numbers and social media links from websites. Auto-follows contact/about pages. Fast HTTP-based lead-generation tool. - **URL**: https://apify.com/blazing\_stake/email-contact-extractor.md - **Developed by:** [Mehmet Kut](https://apify.com/blazing_stake) (community) - **Categories:** Lead generation, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## Email & Contact Extractor Extract **emails, phone numbers, and social media links** from any list of websites — with automatic contact/about page discovery. A fast, affordable lead-generation tool for building outreach lists. ### 🎯 What it does For each website, it extracts: - **Email addresses** (from `mailto:` links and page text, asset false-positives filtered) - **Phone numbers** (from `tel:` links and international-format numbers) - **Social media profiles** — LinkedIn, Twitter/X, Facebook, Instagram, YouTube, GitHub - Automatically **follows internal contact/about/team/imprint pages** for deeper coverage ### 💡 Use cases - **B2B lead generation** — build contact lists from company websites - **Sales prospecting** — enrich a list of domains with contact details - **Recruiting** — find contact info for target companies - **Market research** — map a sector's businesses and their reachability ### 📥 Input | Field | Type | Description | |-------|------|-------------| | `startUrls` | array | Website URLs to extract contacts from | | `maxPagesPerDomain` | integer | Pages to crawl per site (default 10) | | `followContactPages` | boolean | Follow contact/about pages (default true) | | `maxConcurrency` | integer | Parallel requests (default 20) | | `useProxy` | boolean | Route via Apify Proxy (default true) | #### Example input ```json { "startUrls": ["https://example.com", "https://another.com"], "maxPagesPerDomain": 10, "followContactPages": true } ```` ### 📤 Output ```json { "url": "https://example.com/contact", "domain": "example.com", "emails": ["hello@example.com", "sales@example.com"], "phones": ["+1 555 123 4567"], "socials": { "linkedin": "https://linkedin.com/company/example", "twitter": "https://twitter.com/example" }, "emailCount": 2, "phoneCount": 1 } ``` Export to CSV/Excel/JSON or pull via the Apify API straight into your CRM. ### ⚡ Performance HTTP-based crawling — processes pages in ~0.4s each. No headless browser overhead. ### ⚖️ Responsible use Use extracted contact data in compliance with applicable laws (GDPR, CAN-SPAM, etc.) and the target sites' terms. Only extract publicly available business contact information. # Actor input Schema ## `startUrls` (type: `array`): Websites to extract contact details from. The Actor also follows internal contact/about pages for deeper coverage. ## `maxPagesPerDomain` (type: `integer`): How many pages to crawl per website (start page + contact/about pages). ## `followContactPages` (type: `boolean`): Automatically follow internal links containing 'contact', 'about', 'team', 'imprint' etc. for better coverage. ## `maxConcurrency` (type: `integer`): Number of pages fetched in parallel. ## `useProxy` (type: `boolean`): Route requests through Apify Proxy to avoid IP blocking. ## Actor input object example ```json { "startUrls": [ "https://example.com", "https://another-company.com" ], "maxPagesPerDomain": 10, "followContactPages": true, "maxConcurrency": 20, "useProxy": true } ``` # Actor output Schema ## `results` (type: `string`): No description # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "startUrls": [ "https://apify.com" ] }; // Run the Actor and wait for it to finish const run = await client.actor("blazing_stake/email-contact-extractor").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "startUrls": ["https://apify.com"] } # Run the Actor and wait for it to finish run = client.actor("blazing_stake/email-contact-extractor").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "startUrls": [ "https://apify.com" ] }' | apify call blazing_stake/email-contact-extractor --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=blazing_stake/email-contact-extractor", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Email & Contact Extractor", "description": "Extract emails, phone numbers and social media links from websites. Auto-follows contact/about pages. Fast HTTP-based lead-generation tool.", "version": "0.1", "x-build-id": "44dRHWLorSLkcy6ek" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/blazing_stake~email-contact-extractor/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-blazing_stake-email-contact-extractor", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/blazing_stake~email-contact-extractor/runs": { "post": { "operationId": "runs-sync-blazing_stake-email-contact-extractor", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/blazing_stake~email-contact-extractor/run-sync": { "post": { "operationId": "run-sync-blazing_stake-email-contact-extractor", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "required": [ "startUrls" ], "properties": { "startUrls": { "title": "Website URLs", "type": "array", "description": "Websites to extract contact details from. The Actor also follows internal contact/about pages for deeper coverage.", "items": { "type": "string" } }, "maxPagesPerDomain": { "title": "Max pages per domain", "minimum": 1, "maximum": 100, "type": "integer", "description": "How many pages to crawl per website (start page + contact/about pages).", "default": 10 }, "followContactPages": { "title": "Follow contact/about pages", "type": "boolean", "description": "Automatically follow internal links containing 'contact', 'about', 'team', 'imprint' etc. for better coverage.", "default": true }, "maxConcurrency": { "title": "Max concurrency", "minimum": 1, "maximum": 100, "type": "integer", "description": "Number of pages fetched in parallel.", "default": 20 }, "useProxy": { "title": "Use Apify Proxy", "type": "boolean", "description": "Route requests through Apify Proxy to avoid IP blocking.", "default": true } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```